Document assistants
Query manuals, procedures and projects in natural language, with references to source information.
01 / What we do
Applied artificial intelligence for business
AI creates value when it solves a specific problem. We connect models, data and processes to expand what your team can do.
Let’s discuss this projectOur approach
From an AI model to a business capability.
Applying AI in a business means understanding what information the system needs, which decisions it can make and when a person must step in. We start with the process: its inputs, constraints and intended outcome.
We design the solution around those requirements. We select models, define permissions and connect the necessary data. For document use cases, retrieval-augmented generation (RAG) can ground answers in information from your organisation.
Before deployment, we validate the system with representative examples from your operations. We assess answer quality, costs, response times and cases requiring review. Production delivery includes integration and support for the team.
What we do
What we can build
Agents and automation
Connect tasks and tools with explicit permissions and human review for actions that need it.
Document processing
Classify documents, extract information and prepare data for the systems your team already uses.
Private AI deployments
Define where models run and data is processed around your infrastructure and privacy requirements.
When it makes sense
A good fit for repetitive tasks, information that is hard to access or processes involving document interpretation. We first check data availability and how to evaluate the outcome.
07 /Straight answers
Questions about this service
What is a RAG system?
It is an architecture that retrieves information from selected sources and supplies it to a model to compose an answer. It allows company documents to inform responses with references; quality evaluation and access controls are still necessary.
Do we need to train a model from scratch?
Not necessarily. Many projects can use existing models integrated with company data and tools. The choice depends on the use case, privacy, budget and technical requirements.
Capabilities that work together
The next step
Tell us what you want to achieve. We'll tell you — with an engineer's judgement — how AI can help you get there.
info@vadere.ai